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copied!<p>I am not sure exactly what you mean by </p> <blockquote> <p>select years between 1950-2001 against months of Nov-february</p> </blockquote> <p>But the following should get you started on a reproducible example...</p> <pre><code>#create a vector of months from 1900 through 2010 months <- seq(as.Date("1900/1/1"), as.Date("2010/12/31"), "months") #assign a random vector of equal length output <- rnorm(length(months)) #assign both values to a data_frame data <- data.frame(months = months, output = output) </code></pre> <p>Based on your description, your data should look something like the dataframe, called <code>data</code>. </p> <p>From here, you can make use of the <code>subset</code> function to help you on your way. The first example subsets to data from 1950 through 2001. The next further restricts that subset to the months of November through February. </p> <pre><code>#subset to just 1950 through 2001 data_sub <- subset(data, months >= as.Date("1950-01-01") & months <= as.Date("2001-12-31")) #subset the 1950 to 2001 data to just Nov-feb months (i.e. c(11,12,1,2)) data_sub_nf <- subset(data_sub, as.numeric(format(data_sub$months, "%m")) %in% c(11,12,1,2)) </code></pre> <p>You should also read <a href="https://stackoverflow.com/questions/9860090/in-r-why-is-better-than-subset">Why is `[` better than `subset`?</a> to move beyond <code>subset</code>. </p> <p>As stated, after the data has been subset, you can use <code>plot</code> or any other plotting function to graph your data. </p>

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